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Bone regeneration mediated by biomimetic mineralization of a nanofiber matrix

Open access
Mata, Alvaro, Geng, Yanbiao, Henrikson, Karl J., Aparicio, Conrado, Stock, Stuart R., Satcher, Robert L., Stupp, Samuel I.·2010·Biomaterials

Abstract

Rapid bone regeneration within a three-dimensional defect without the use of bone grafts, exogenous growth factors, or cells remains a major challenge. We report here on the use of self-assembling peptide nanostructured gels to promote bone regeneration that have the capacity to mineralize in biomimetic fashion. The main molecular design was the use of phosphoserine residues in the sequence of a peptide amphiphile known to nucleate hydroxyapatite crystals on the surfaces of nanofibers. We tested the system in a rat femoral critical size defect by placing pre-assembled nanofiber gels in a 5 mm gap and analyzed bone formation with micro-computed tomography and histology. We found within 4 weeks significantly higher bone formation relative to controls lacking phosphorylated residues and comparable bone formation to that observed in animals treated with a clinically used allogenic bone matrix.

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Crossref · 10.1016/j.biomaterials.2010.04.013

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Metadata

Authors
Mata, A., Geng, Y., Henrikson, K. J., Aparicio, C., Stock, S. R., Satcher, R. L., & Stupp, S. I.
Venue
Biomaterials
Publisher
Elsevier BV
Published
2010-08
Volume
31
Issue
23
Pages
6004-6012
ISSN
0142-9612 (ISSN-L)
OpenAlex
W2029491390
Cited by
260
References
2
FWCI
13.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bone regeneration mediated by biomimetic mineralization of a nanofiber matrix. https://app.cochat.ai/papers/10.1016/j.biomaterials.2010.04.013
The paper
Mata, A., Geng, Y., Henrikson, K. J., Aparicio, C., Stock, S. R., Satcher, R. L., & Stupp, S. I. (2010). Bone regeneration mediated by biomimetic mineralization of a nanofiber matrix. Biomaterials. https://doi.org/10.1016/j.biomaterials.2010.04.013

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.